






'''simple docstring'''





import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


_UpperCamelCase						:						Any  =					namedtuple(
    '_TestCommandArgs',
    [
        'dataset',
        'name',
        'cache_dir',
        'data_dir',
        'all_configs',
        'save_infos',
        'ignore_verifications',
        'force_redownload',
        'clear_cache',
    ],
    defaults=[None, None, None, False, False, False, False, False],
)
def __UpperCAmelCase   (					A					:			Tuple			,       A					:			Optional[Any]		)    ->   int:
			return (abs(source - target		) / target) < 0.01







@pytest.mark.integration
def __UpperCAmelCase   (					A					:			Tuple		)    ->   str:
			UpperCAmelCase_      :       Dict          =       _TestCommandArgs(dataset=A			,       all_configs=A			,       save_infos=A		)
			UpperCAmelCase_      :       Tuple          =       TestCommand(*A		)
			test_command.run()
			UpperCAmelCase_      :       List[str]          =       os.path.join(A			,       '''README.md'''		)
			assert os.path.exists(A		)
			UpperCAmelCase_      :       List[str]          =       DatasetInfosDict.from_directory(A		)
			UpperCAmelCase_      :       Optional[int]          =       DatasetInfosDict(
			    {
			        '''default''': DatasetInfo(
			            features=Features(
			                {
			                    '''tokens''': Sequence(Value('''string'''		)		),
			                    '''ner_tags''': Sequence(
			                        ClassLabel(names=['''O''', '''B-PER''', '''I-PER''', '''B-ORG''', '''I-ORG''', '''B-LOC''', '''I-LOC''']		)		),
			                    '''langs''': Sequence(Value('''string'''		)		),
			                    '''spans''': Sequence(Value('''string'''		)		),
			                }		)			,       splits=[
			                {
			                    '''name''': '''train''',
			                    '''num_bytes''': 2_3_5_1_5_6_3,
			                    '''num_examples''': 1_0_0_0_0,
			                },
			                {
			                    '''name''': '''validation''',
			                    '''num_bytes''': 2_3_8_4_1_8,
			                    '''num_examples''': 1_0_0_0,
			                },
			            ]			,       download_size=3_9_4_0_6_8_0			,       dataset_size=2_5_8_9_9_8_1			,       )
			    }		)
			assert dataset_infos.keys() == expected_dataset_infos.keys()
			for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
						UpperCAmelCase_    ,      UpperCAmelCase_      :       Optional[int]          =       getattr(dataset_infos['''default''']			,       A		), getattr(expected_dataset_infos['''default''']			,       A		)
						if key == "num_bytes":
									assert is_apercent_close(A			,       A		)
						elif key == "splits":
									assert list(A		) == list(A		)
									for split in result:
												assert result[split].name == expected[split].name
												assert result[split].num_examples == expected[split].num_examples
												assert is_apercent_close(result[split].num_bytes			,       expected[split].num_bytes		)
						else:
									result == expected










'''simple docstring'''





from __future__ import annotations

import os
from collections.abc import Mapping

_UpperCamelCase						:						Any  =					tuple[int, int]


class  snake_case__      :




					def __init__(  self  :		List[str]				, _A  :		set[int]				, _A  :		Mapping[EdgeT, int]      )    ->							None:
								UpperCAmelCase_      :       set[int]          =       vertices
								UpperCAmelCase_      :       dict[EdgeT, int]          =       {
								    (min(_A      ), max(_A      )): weight for edge, weight in edges.items()
								}




					def 		A      (  self  :		Union[str, Any]				, _A  :		EdgeT				, _A  :		int      )    ->							None:
								self.vertices.add(edge[0]      )
								self.vertices.add(edge[1]      )
								UpperCAmelCase_      :       List[str]          =       weight





					def 		A      (  self  :		str      )    ->							Graph:
								UpperCAmelCase_      :       Graph          =       Graph({min(self.vertices      )}				, {}      )
								UpperCAmelCase_      :       EdgeT
								UpperCAmelCase_      :       int
								UpperCAmelCase_      :       EdgeT
								UpperCAmelCase_      :       int

								while len(subgraph.vertices      ) < len(self.vertices      ):
											UpperCAmelCase_      :       Optional[Any]          =       max(self.edges.values()      ) + 1
											for edge, weight in self.edges.items():
														if (edge[0] in subgraph.vertices) ^ (edge[1] in subgraph.vertices):
																	if weight < min_weight:
																				UpperCAmelCase_      :       Dict          =       edge
																				UpperCAmelCase_      :       Tuple          =       weight

											subgraph.add_edge(_A				, _A      )

								return subgraph






def __UpperCAmelCase   (					A					:			str = "p107_network.txt"		)    ->   int:
			UpperCAmelCase_      :       str          =       os.path.abspath(os.path.dirname(A		)		)
			UpperCAmelCase_      :       str          =       os.path.join(A			,       A		)
			UpperCAmelCase_      :       dict[EdgeT, int]          =       {}
			UpperCAmelCase_      :       list[str]
			UpperCAmelCase_      :       int
			UpperCAmelCase_      :       int

			with open(A		) as f:
						UpperCAmelCase_      :       int          =       f.read().strip().split('''\n'''		)

			UpperCAmelCase_      :       Any          =       [line.split(''','''		) for line in data]

			for edgea in range(1			,       len(A		)		):
						for edgea in range(A		):
									if adjaceny_matrix[edgea][edgea] != "-":
												UpperCAmelCase_      :       Optional[int]          =       int(adjaceny_matrix[edgea][edgea]		)

			UpperCAmelCase_      :       Graph          =       Graph(set(range(len(A		)		)		)			,       A		)

			UpperCAmelCase_      :       Graph          =       graph.prims_algorithm()

			UpperCAmelCase_      :       int          =       sum(graph.edges.values()		)
			UpperCAmelCase_      :       int          =       sum(subgraph.edges.values()		)

			return initial_total - optimal_total


if __name__ == "__main__":
						print(f'''{solution() = }''')


